| Decentralized Privacy using Blockchain-Enabled Federated Learning in Fog Computing Y Qu, L Gao, L Luan, H., S Yu, Y Xiang, B Li, G Zheng IEEE Internet of Things Journal, 2020 | 414 | 2020 |
| Security and Privacy in Smart Cities: Challenges and Opportunities L Cui, Y Qu IEEE Access, 2018 | 327 | 2018 |
| A Blockchained Federated Learning Framework for Cognitive Computing in Industry 4.0 Networks Y Qu, SR Pokhrel, S Garg, L Gao, Y Xiang IEEE Transactions on Industrial Informatics, 2020 | 322 | 2020 |
| Asynchronous federated learning on heterogeneous devices: A survey C Xu, Y Qu, Y Xiang, L Gao arXiv:2109.04269v1 50, 100595, 2021 | 256 | 2021 |
| Blockchain-Enabled Federated Learning: A Survey Y QU, P Uddin, C Gan, L Gao, Y Xiang, J Yearwood ACM Computing Surveys, 2022 | 181 | 2022 |
| Security and privacy-enhanced federated learning for anomaly detection in IoT infrastructures Y Qu, L Cui, G Xie, D Zeng, R Li, S Shen, S Yu IEEE Transactions on Industrial Informatics, 2021 | 177 | 2021 |
| Detecting false data attacks using machine learning techniques in smart grid: A survey L Cui, Y Qu, L Gao, G Xie, S Yu Journal of Network and Computer Applications 170, 102808, 2020 | 156 | 2020 |
| Smart cities cybersecurity and privacy DB Rawat, KZ Ghafoor Elsevier, 2018 | 115 | 2018 |
| Privacy of things: Emerging challenges and opportunities in wireless internet of things Y Qu, S Yu, W Zhou, S Peng, G Wang, K Xiao IEEE Wireless Communications 25 (6), 91-97, 2018 | 113 | 2018 |
| A hybrid privacy protection scheme in cyber-physical social networks Y Qu, S Yu, L Gao, W Zhou, S Peng IEEE Transactions on Computational Social Systems 5 (3), 773-784, 2018 | 81 | 2018 |
| Privacy-preserving blockchain-enabled federated learning for B5G-Driven edge computing Y Wan, Y Qu, L Gao, Y Xiang Computer Networks 204, 108671, 2022 | 77 | 2022 |
| A lightweight and attack-proof bidirectional blockchain paradigm for internet of things C Xu, Y Qu, TH Luan, PW Eklund, Y Xiang, L Gao IEEE Internet of Things Journal 9 (6), 4371-4384, 2021 | 76 | 2021 |
| Evolutionary privacy-preserving learning strategies for edge-based IoT data sharing schemes Y Shen, S Shen, Q Li, H Zhou, Z Wu, Y Qu Digital Communications and Networks 9 (4), 906-919, 2023 | 68 | 2023 |
| GAN-Driven Personalized Spatial-Temporal Private Data Sharing in Cyber-Physical Social Systems Y Qu, S Yu, W Zhou, Y Tian IEEE Transactions on Network Science and Engineering, 2020 | 63 | 2020 |
| Privacy on the edge: Customizable privacy-preserving context sharing in hierarchical edge computing B Gu, L Gao, X Wang, Y Qu, J Jin, S Yu IEEE Transactions on Network Science and Engineering 7 (4), 2298-2309, 2019 | 61 | 2019 |
| Blockchain-enabled asynchronous federated learning in edge computing Y Liu, Y Qu, C Xu, Z Hao, B Gu Sensors 21 (10), 3335, 2021 | 57 | 2021 |
| FedTwin: Blockchain-enabled adaptive asynchronous federated learning for digital twin networks Y Qu, L Gao, Y Xiang, S Shen, S Yu IEEE Network 36 (6), 183-190, 2022 | 53 | 2022 |
| Security-aware and privacy-preserving personal health record sharing using consortium blockchain Y Wang, A Zhang, P Zhang, Y Qu, S Yu IEEE Internet of Things Journal 9 (14), 12014-12028, 2021 | 51 | 2021 |
| An Efficient and Reliable Asynchronous Federated Learning Scheme for Smart Public Transportation C Xu, Y Qu, TH Luan, PW Eklund, Y Xiang, L Gao IEEE Transactions on Vehicular Technology, 2023 | 44 | 2023 |
| Privacy preservation in smart cities Y Qu, MR Nosouhi, L Cui, S Yu Smart cities cybersecurity and privacy, 75-88, 2019 | 42 | 2019 |
Longxiang GaoProfessor, Qilu University of Technology; Adjunct Professor, University of Southern QueenslandVerified email at deakin.edu.au
